Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-12-06 10:52:16	ga_s2am_ard_3-2-1_52KHE_2015-12-06_final.stac-item
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_53JQL_2015-12-07_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KLC_2016-01-16_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51KXU_2016-03-07_final.stac-item
2016-05-01 10:43:19	ga_s2am_ard_3-2-1_53JPN_2016-05-01_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HPG_2016-05-09_final
2016-08-05 11:01:22	ga_s2am_ard_3-2-1_52JDM_2016-08-05_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50JLM_2016-11-01_final.stac-item
2016-11-12 11:26:19	ga_s2am_ard_3-2-1_51KWT_2016-11-12_final.stac-item
2017-01-02 11:02:35	ga_s2am_ard_3-2-1_52KDU_2017-01-02_final.stac-item
2017-03-10 10:52:09	ga_s2am_ard_3-2-1_52KHD_2017-03-10_final.stac-item
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50JRT_2017-03-12_final.stac-item
2017-04-12 11:02:10	ga_s2am_ard_3-2-1_52KEA_2017-04-12_final.stac-item
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_50HQK_2017-06-20_final.stac-item
2017-07-31 11:03:00	ga_s2am_ard_3-2-1_52KFV_2017-07-31_final.stac-item
2017-09-16 10:53:12	ga_s2am_ard_3-2-1_52KGV_2017-09-16_final.stac-item
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JFQ_2017-11-08_final.stac-item
2018-01-07 11:02:51	ga_s2am_ard_3-2-1_52KHB_2018-01-07_final.stac-item
2018-01-10 11:12:06	ga_s2am_ard_3-2-1_52KEE_2018-01-10_final.stac-item
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51KTU_2018-03-10_final.stac-item
2018-06-26 11:02:55	ga_s2am_ard_3-2-1_52KGV_2018-06-26_final.stac-item
2018-07-19 11:09:45	ga_s2am_ard_3-2-1_52KEC_2018-07-19_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JTM_2018-08-04_final.stac-item
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_52LDJ_2018-08-11_final.stac-item
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_51KYP_2018-10-10_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51KWQ_2018-10-13_final.stac-item
2018-11-21 10:26:25	ga_s2am_ard_3-2-1_53HQC_2018-11-21_final.stac-item
2018-11-26 11:12:56	ga_s2am_ard_3-2-1_52KDC_2018-11-26_final.stac-item
2018-12-06 11:13:46	ga_s2am_ard_3-2-1_51KZQ_2018-12-06_final.stac-item
2018-12-21 10:26:45	ga_s2am_ard_3-2-1_53HNB_2018-12-21_final.stac-item
2018-12-29 11:23:32	ga_s2am_ard_3-2-1_51KYR_2018-12-29_final.stac-item
2019-01-28 11:23:17	ga_s2am_ard_3-2-1_52KBB_2019-01-28_final.stac-item
2019-02-06 11:56:11	ga_s2am_ard_3-2-1_50JMM_2019-02-06_final.stac-item
2019-02-26 11:53:20	ga_s2am_ard_3-2-1_50KNC_2019-02-26_final.stac-item
2019-05-05 11:13:23	ga_s2am_ard_3-2-1_52KDB_2019-05-05_final.stac-item
2019-07-15 10:46:00	ga_s2am_ard_3-2-1_53JLF_2019-07-15_final.stac-item
2019-08-06 11:21:36	ga_s2am_ard_3-2-1_52LDJ_2019-08-06_final.stac-item
2019-09-05 11:23:42	ga_s2am_ard_3-2-1_51KXR_2019-09-05_final.stac-item
2019-09-12 11:13:28	ga_s2am_ard_3-2-1_52KEA_2019-09-12_final.stac-item
2019-09-16 10:54:47	ga_s2am_ard_3-2-1_52JFR_2019-09-16_final.stac-item
2019-10-16 10:55:42	ga_s2am_ard_3-2-1_53JKG_2019-10-16_final.stac-item
2019-11-09 10:37:01	ga_s2am_ard_3-2-1_53HPA_2019-11-09_final.stac-item
2019-11-29 10:35:14	ga_s2am_ard_3-2-1_53JMJ_2019-11-29_final.stac-item
2019-12-04 11:26:56	ga_s2am_ard_3-2-1_51HVC_2019-12-04_final.stac-item
2019-12-07 11:33:00	ga_s2am_ard_3-2-1_51KYT_2019-12-07_final.stac-item
2019-12-20 11:43:23	ga_s2am_ard_3-2-1_51KUS_2019-12-20_final.stac-item
2020-02-19 11:12:58	ga_s2am_ard_3-2-1_52KDC_2020-02-19_final.stac-item
2020-03-03 11:22:00	ga_s2am_ard_3-2-1_52KCG_2020-03-03_final.stac-item
2020-04-05 11:32:40	ga_s2am_ard_3-2-1_51KWV_2020-04-05_final.stac-item
2020-04-15 11:34:10	ga_s2am_ard_3-2-1_51KWP_2020-04-15_final.stac-item
2020-04-24 10:26:38	ga_s2am_ard_3-2-1_53HPC_2020-04-24_final.stac-item
2020-05-24 10:26:13	ga_s2am_ard_3-2-1_53HPE_2020-05-24_final.stac-item
2020-05-24 12:04:59	ga_s2am_ard_3-2-1_50JLS_2020-05-24_final.stac-item
2020-07-26 10:34:19	ga_s2am_ard_3-2-1_53JNN_2020-07-26_final.stac-item
2020-08-04 11:03:51	ga_s2am_ard_3-2-1_52KFV_2020-08-04_final.stac-item
2021-01-13 11:43:33	ga_s2am_ard_3-2-1_51KTS_2021-01-13_final.stac-item
2021-02-23 11:10:32	ga_s2am_ard_3-2-1_52LFN_2021-02-23_final
2021-02-26 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2021-02-26_final.stac-item
2021-05-29 10:24:41	ga_s2am_ard_3-2-1_53JQL_2021-05-29_final.stac-item
2021-06-19 11:37:01	ga_s2am_ard_3-2-1_51HTC_2021-06-19_final.stac-item
2021-07-06 11:25:41	ga_s2am_ard_3-2-1_51JXH_2021-07-06_final.stac-item
2021-09-16 10:26:37	ga_s2am_ard_3-2-1_53HPC_2021-09-16_final.stac-item
2021-10-01 11:13:19	ga_s2am_ard_3-2-1_52KEB_2021-10-01_final.stac-item
2021-10-03 11:56:34	ga_s2am_ard_3-2-1_50HNK_2021-10-03_final.stac-item
2021-10-21 11:16:46	ga_s2am_ard_3-2-1_51HXD_2021-10-21_final.stac-item
2021-10-24 11:24:09	ga_s2am_ard_3-2-1_51KZP_2021-10-24_final.stac-item
2021-10-31 11:14:33	ga_s2am_ard_3-2-1_51JYN_2021-10-31_final.stac-item
2021-11-02 10:17:09	ga_s2am_ard_3-2-1_53HQA_2021-11-02_final.stac-item
2022-02-01 11:22:23	ga_s2am_ard_3-2-1_51KZA_2022-02-01_final.stac-item
2022-02-14 11:35:37	ga_s2am_ard_3-2-1_50JQP_2022-02-14_final.stac-item
2022-03-28 10:35:55	ga_s2am_ard_3-2-1_53JNF_2022-03-28_final.stac-item
2022-05-25 11:36:54	ga_s2am_ard_3-2-1_51HTD_2022-05-25_final.stac-item
2022-06-11 11:26:10	ga_s2am_ard_3-2-1_51JVG_2022-06-11_final.stac-item
2022-07-01 11:24:17	ga_s2am_ard_3-2-1_51KZP_2022-07-01_final.stac-item
2022-08-20 11:24:31	ga_s2am_ard_3-2-1_51JZN_2022-08-20_final.stac-item
2022-08-29 11:53:33	ga_s2am_ard_3-2-1_50KPC_2022-08-29_final.stac-item
2022-09-03 11:00:42	ga_s2am_ard_3-2-1_52LHN_2022-09-03_final.stac-item
2022-09-10 10:55:01	ga_s2am_ard_3-2-1_53JKK_2022-09-10_final.stac-item
2022-10-06 11:13:22	ga_s2am_ard_3-2-1_52KEB_2022-10-06_final.stac-item
2022-12-08 11:23:50	ga_s2am_ard_3-2-1_52KBV_2022-12-08_final.stac-item
2023-01-10 11:33:00	ga_s2am_ard_3-2-1_51KVU_2023-01-10_final.stac-item
2023-01-17 11:22:04	ga_s2am_ard_3-2-1_52KBG_2023-01-17_final.stac-item
2023-01-19 10:26:41	ga_s2am_ard_3-2-1_53HQB_2023-01-19_final.stac-item
2023-02-16 11:23:21	ga_s2am_ard_3-2-1_51KYS_2023-02-16_final
2023-03-01 11:32:55	ga_s2am_ard_3-2-1_51KWU_2023-03-01_final
2023-04-14 11:15:29	ga_s2am_ard_3-2-1_52JCN_2023-04-14_final
2023-06-23 11:14:38	ga_s2am_ard_3-2-1_52JCS_2023-06-23_final
2023-08-01 11:42:47	ga_s2am_ard_3-2-1_51KVV_2023-08-01_final
2023-08-07 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2023-08-07_final
2023-09-03 11:55:51	ga_s2am_ard_3-2-1_50JKP_2023-09-03_final
2023-09-18 11:05:05	ga_s2am_ard_3-2-1_52JEQ_2023-09-18_final
2023-10-04 11:25:29	ga_s2am_ard_3-2-1_51JWJ_2023-10-04_final
2023-10-13 11:54:56	ga_s2am_ard_3-2-1_50JLS_2023-10-13_final
2023-11-17 11:00:43	ga_s2am_ard_3-2-1_52LHM_2023-11-17_final
2023-12-03 11:23:50	ga_s2am_ard_3-2-1_51KXQ_2023-12-03_final
2023-12-13 11:23:23	ga_s2am_ard_3-2-1_52KCA_2023-12-13_final
2024-01-11 11:55:15	ga_s2am_ard_3-2-1_50JNQ_2024-01-11_final
2024-03-25 11:32:33	ga_s2am_ard_3-2-1_51KVA_2024-03-25_final
2024-04-01 11:23:12	ga_s2am_ard_3-2-1_51KXT_2024-04-01_final
2024-04-04 11:33:50	ga_s2am_ard_3-2-1_51KXQ_2024-04-04_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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